Generative AI tools such as text or image generators are changing the way we work, learn and engage in creative activities. Especially AI-supported chatbots like ChatGPT are now used in many areas. For example, they can help you with writing, researching and programming.
On the AI Campus, you will learn how generative AI models are structured, how they work and how to use them in a meaningful way in everyday life. Without any prior knowledge, you can develop your own chatbot and, through learning by doing, explore both the potential and risks of GenAI.
Johanna Ott combines in-depth technical expertise with the practical application of AI in medical product development. She supports companies on data science projects covering aspects of design, technical implementation, and evaluation. As a Senior Deep Learning Engineer at Thirona Retina BV, she leads the development of computer vision AI for medical screening.
As a lecturer, she has experience in directly instructing and coaching over 100 learners in various education formats, both in small groups and one-on-one settings. In her course on transformer-based large language models you will learn how to understand the inner workings of modern AI step by step, without any programming or complex mathematics.
Dr. Arman Nassirtoussi is an AI practitioner and the founder of ElevateSoul.ai, an agentic AI coaching and education platform for careers and startups in data and AI.
He earned his PhD in AI over a decade ago, focusing on predictive intraday trading using Natural Language Processing (NLP), sentiment analysis, and large-scale text mining of online news. His main publications have quickly received around 1,400 citations on Google Scholar. Arman has founded multiple startups and has built and led large teams to deliver AI platforms and analytics systems at companies including Henkel, Zalando, and T-Systems, with a focus on personalization and product analytics in e-commerce.
Arman welcomes connecting with people interested in Agentic AI, data, and AI careers via LinkedIn.
